Outcomes |
- Develop a strong foundation in artificial intelligence and machine learning concepts, including neural networks, deep learning, natural language processing, and computer vision.
- Gain hands-on experience with Python libraries like NumPy, Pandas, Scikit-Learn, TensorFlow, and Keras to build and deploy AI/ML models.
- Learn to preprocess data, perform feature engineering, and apply various machine learning algorithms to solve real-world problems.
- Create and fine-tune AI models for tasks such as image recognition, predictive analytics, and recommendation systems, enhancing your practical skills.
- Complete a capstone project that demonstrates your ability to implement AI/ML solutions, showcasing your skills to potential employers.
- Earn a Certificate of Completion, validating your expertise in AI/ML with Python and boosting your career prospects in the rapidly growing field of artificial intelligence.
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